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The design is a single blinded, dual comparative study of ultrasound versus micro-CT/LASCA in one study group. Up to a total of 140 subjects registered will be recruited. Subjects who are treatment planned for extraction of a hopeless tooth and socket augmentation with bone graft and are planned for a dental implant surgery. The socket will be evaluated before the extraction and multi-time points during healing until an implant is placed with various evaluation tools, including ultrasound.

BoneMRI is a quantitative 3D MRI technique that has been developed recently by MRIGuidance BV©, which is based on a multiple gradient-echo sequence and a machine learning processing pipeline. The BoneMRI technology is capable of generating CT-like, quantitative radiodensity bone MRI images to visualize cortical and trabecular bone, allowing to assess bone structure and morphology, in addition to regular clinical MRI images. The use of BoneMRI has been investigated and clinically validated in multiple musculoskeletal studies involving the cervical spine, hip and sacro-iliac joint. In order to clinically use BoneMRI in the entire spine, the BoneMRI technology needs to be validated in that area as well, focussing on geometrical and voxelwise accuracy of the radiodensity contrast to assure accurate visualization of the osseous structures. As robustness against expected data variability between hospitals is crucial for successful machine learning algorithms, multiple MR field strengths and scanner types from different manufacturers will be included in this study. If successful, BoneMRI will facilitate a better, easier and cheaper workflow by enabling diagnosis, treatment planning and surgical navigation using a single radiological examination, without the potential hazards of ionizing radiation.

Many human diseases are characterized by their ability to alter existing metabolic pathways and interrupt cellular processes. Cancer exploits the Warburg effect and utilizes greater glucose than normal cells and within this process uses anaerobic respiration, leading to increased conversion of pyruvate to lactate. This can be exploited by hyperpolarized imaging. Hyperpolarized 13C MRI imaging is an approach that utilizes a stable isotope of Carbon (13C) linked to pyruvate. MRI spectroscopy is used in conjunction with hyperpolarized 13C pyruvate in order to temporally detect pyruvate and its conversion to lactate in-vivo, in order to visualize downstream metabolic (glycolytic) activity secondary to the Warburg effect, which should be useful in detecting and characterizing tumors of various types. Hyperpolarized 13C pyruvate MR imaging has not been tested in most cancers. In this preliminary survey, we will test the hypothesis that hyperpolarized 13C pyruvate MR imaging can be used to image various cancers.

The aim of this study is to investigate the measurement of abdominal aortic aneurysm by computed tomography angiography. The research will collected the results of computed tomography angiography from inpatient, emergency, and outpatient populations with abdominal aortic aneurysm.

Conventional mammography, breast sonography and breast MRI have specific weaknesses. In particular, mammography has a low sensitivity for the detection of mammary carcinoma in patients with a dense breast. Phase contrast mammography could help to overcome some of these limitations. Observational study.

This project is a multicenter observational study that establishes a longitudinal cohort of patients with Alzheimer's disease and other dementias based on neuroimaging, molecular imaging, biological and digital markers to explore new solutions such as dementia disease mechanism, diagnosis, condition evaluation, and prognosis assessment.

This project intends to conduct a multicenter retrospective study to evaluate the satisfactory reduction of advanced ovarian cancer using PET-CT images, and explore the correlation between molecular biological characteristics and clinical characteristics of ovarian cancer through high-throughput sequencing genomics combined with radiomics.

The investigators' hypothesis is that cutaneous melanoma, melanoma in situ, dysplastic nevi and benign nevi all differ in not only clinical characteristics but also molecular and genotypic characteristics. Patients with suspected primary cutaneous melanoma or a differential diagnosis, or secondary melanoma can be asked to participate in the first part of the project and patients with suspected or confirmed secondary (spread) melanoma can be included in the second part of the study. Participants included in the study answer a validated questionnaire regarding epidemiological and phenotypic factors to map medical history, prior UV exposure, family history of melanoma and/or other cancer types, skin type, smoking habits, alcohol use and quality of life. Blood samples (whole blood) are collected before primary local excision and before secondary surgical procedures as well as during follow up of patients with secondary disease and oncologic treatment. During local excision of the primary pigmented skin lesion, full-thickness skin punch biopsies are taken by trained dermatologists. The biopsies, in the lesion and next to the lesion in the normal skin of the suspected melanoma, are taken, snap frozen and stored deep frozen. The primary lesions are documented by accurate imaging methods prior to excision. Tissue samples from suspected or confirmed secondary melanomas are collected mainly through surgical and core needle biopsies before, during and after treatment and in case of disease progress or treatment failure. Tissue samples are snap-frozen and stored in the same way as samples from primary melanomas. Comprehensive questionnaire based, imaging-based information, as well as histologic information provided from the pathologist report is included and stored in a secure database. All the information in the database, along with information from molecular analysis of tissue and/or blood samples will then be used to find objective, molecular and clinical differences in melanoma, melanoma in situ, dysplastic and benign nevi along with potential information of biological aggressivity of both primary and secondary melanoma in order to find more objective diagnostic markers.

The present study is a prospective randomized clinical trial aimed to compare the therapeutic strategy of angiography-guided versus concurrent OCT/FFR-guided intervention in patients with coronary artery disease.

This study seeks to develop a deep-learning-based intelligent predictive model for the efficacy of neoadjuvant chemotherapy in gastric cancer patients. By utilizing the patients' CT imaging data, biopsy pathology images, and clinical information, the intelligent model will predict the post-neoadjuvant chemotherapy efficacy and prognosis, offering assistance in personalized treatment decisions for gastric cancer patients.